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Data Science Research Assistant Jobs in Alberta (NOW HIRING)

... developers, data scientists and testers towards transitioning AI/ML, simulation models, and data pipelines from research PoC development through to product delivery. The role's direct ...

Strong skills in statistics and programming, as well as knowledge of data science and software ... Research and implement appropriate ML algorithms and tools. * Develop machine learning applications ...

About the Department The Office of Institutional Research and Planning (OIRP) has primary ... Qualifications A Bachelor degree-preferably in computer science, computer/software engineering or ...

Demonstrate Databricks capabilities across Data Engineering, Data Science, ML, and Generative AI ... A degree in Computer Science, Applied Mathematics, Operations Research, or a related quantitative ...

Junior Machine Learning Engineer

Calgary, AB · On-site

CA$80K - CA$95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... assistants. * Programming experience in Python. * Familiarity with common machine learning and data science libraries such as scikit-learn, pandas, NumPy, or similar. * Experience working with at ...

Showing results 21-40

Data Science Research Assistant information

See Alberta salary details

$16.5K

$83.5K

$192.5K

How much do data science research assistant jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science research assistant in Alberta is $83,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $123,500.00 per year, depending on experience, location, and employer.

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

What are the key skills and qualifications needed to thrive as a data science research assistant?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.

What is the difference between Data Science Research Assistant vs Data Analyst?

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are popular job titles related to Data Science Research Assistant jobs in Alberta?

For Data Science Research Assistant jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Data Science Research Assistant jobs in Alberta look for?

The top searched job categories for Data Science Research Assistant jobs in Alberta are:

What cities in Alberta are hiring for Data Science Research Assistant jobs?

Cities in Alberta with the most Data Science Research Assistant job openings:

Infographic showing various Data Science Research Assistant job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,537 per year, or $40.2 per hour.

January 2027 - Scientific Research & Experimental Design (Non-CPA) - 8 month Co-op - Calgary

Pwc

Calgary, AB • On-site, Remote

Full-time

Medical, Dental, Vision, Life, PTO

Posted 3 days ago

New


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Line of Service

Tax

Industry/Sector

Not Applicable

Specialism

General Tax Consulting

Management Level

Associate

Job Description & Summary

At PwC Canada, we're more than a professional services firm-we're a community of solvers tackling the world's most important problems. As a co-op in our Tax practice, you'll be part of a diverse, inclusive team that values your perspective and empowers you to make a real impact. You'll build relationships, gain hands-on experience with cutting-edge technologies, and contribute to work that matters-whether it's helping clients navigate complex challenges or driving trust in their reporting.
Throughout your co-op term, you'll be supported by experienced professionals and exposed to our innovative AI and digital tools to help you build future-ready capabilities in tax research, technology, and business acumen. You'll also gain firsthand experience of busy season and see how tax work unfolds in real time. Whether you're working from a PwC office, a client site, or remotely, you'll be part of a collaborative environment that encourages curiosity and continuous learning. Grow here, go further.

The Opportunity: Scientific Research & Experimental Design

At PwC, our people in Scientific Research and Experimental Development focus on helping Canadian companies access the SR&ED tax credit and other grants and incentives to fund their innovation and drive growth. A career in our practice will provide you with the opportunity to help businesses access tax incentives intended to encourage research and development in Canada. Being human-led and tech-powered, we assist corporations, individuals, trusts, and partnerships that conduct eligible work in claiming SR&ED tax incentives for the year. Your work may span identifying eligible research and development activities, preparing and supporting claims, and delivering strategic insights that transform complex incentive programs into confident, well-informed business decisions.

Meaningful work you'll be part of

As a SR&ED Co-op intern, you'll work with a team of professionals to help our clients with the preparation of their tax incentive claims. Responsibilities include but are not limited to:

  • Participate in the completion of SR&ED claims (Canada) and other incentive program submissions

  • Complete assignments on time and within budget to meet client expectations

  • Provide practical solutions to optimize clients' returns from SR&ED and other government incentives

  • Attend meetings and support clients during SR&ED reviews

  • Contribute to business development activities to identify and research opportunities

  • Contribute to the development of your own and the team's technical acumen

  • Contribute to developing strategies to solve complex technical challenges

  • Assist in managing and delivering large projects

Experiences and skills you'll use to solve

  • Completion of second year courses in accounting or a STEM field

  • Strong client-service orientation focused on achieving high quality, timely and profitable results

  • Excellent written and oral communication skills combined with intellectual curiosity and creative problem-solving abilities

  • Creative problem-solving skills to apply the SR&ED rules to client opportunities and the skill and experience needed to support claim preparation and review engagements

  • PwC Canada is committed to cultivating an inclusive, hybrid work environment. Exact expectations for your team can be discussed with your interviewer.

Note: We only allow you to submit one application; however, you can select a second and third office preference.

Please note:

  • Apply before our applications close on September 13th, 2026 at 11:59pm (PT). To learn about our application process, visit our Applying to PwC page on our campus recruitment website

  • This position is eligible for PwC Canada's Award and Mentorship Programs.

Why you'll love PwC:

  • Personalized Benefits & Wellbeing: Choose flexible health, dental, vision, life, and disability coverage. Access mental health support ($3,500 annually), virtual care, and up to a $750 lifestyle account for wellness, fitness, and personal growth.

  • Invest in Your Future: Boost your retirement savings with employer matching and take advantage of financial planning resources and banking programs.

  • Growth & Learning: Unlock coaching, mentoring, and clear career paths to help you reach your potential.

  • Time off to focus on what matters most: Enjoy up to 31 paid days off including summer and winter office closures, substitute a public holiday to observe your religious holiday, or take part in international remote work options to extend your time abroad,

  • Inclusive, Purpose-Driven Culture: Join a diverse, supportive team where you can be your authentic self, build lifelong relationships, and help shape tomorrow.

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Metis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Certified Payroll, Communication, Domestic Restructuring (Taxes), Emotional Regulation, Empathy, Inclusion, Income Tax Provisions, Intellectual Curiosity, Optimism, Partnership Tax, Research and Development (R&D) Tax Credits, Retail and Consumer (Taxes), Tax Credit, Taxes, Tax Incentives, Tax Legislation, Tax Modeling, Tax Policy, Tax Provisions, Tax Restructuring, Tax Structures, Teamwork {+ 1 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

August 14, 2026We're committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).Nous tenons a repondre a vos besoins tout au long du processus de demande d'emploi, d'entrevue et d'embauche. Si vous avez besoin de mesures d'adaptation pour etre parfaitement a l'aise, faites-le-nous savoir a l'etape de la demande d'emploi.L'utilisation de l'intelligence artificielle (IA) dans le domaine du recrutement en est a ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. A certains stades de notre processus de recrutement, nous comptons sur l'IA pour ameliorer votre experience. Par exemple, pendant l'examen du curriculum vit ou l'elaboration d'une liste de recommandations personnalisees, un agent conversationnel pourrait vous demander des precisions ou fixer avec vous un rendez-vous pour l'entrevue. L'IA nous aide a mieux lutter contre les prejuges, car l'evaluation des candidats se fait de facon juste et equitable, sans que les informations d'identification comme le nom ou le sexe soient connues. Elle nous permet egalement de mieux reperer les bons candidats pour un poste et d'evaluer le lien entre leurs competences, leur experience et leurs chances de reussir chez PwC Canada. Bien que l'IA facilite certaines etapes de notre processus de recrutement, les decisions finales d'embauche sont toujours prises par des personnes. Pour en savoir plus sur l'utilisation et la protection de vos donnees personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).

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